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Green Compressive Sampling Reconstruction in IoT Networks

Green Compressive Sampling Reconstruction in IoT Networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aba8bc959e72453f985301bb60aa35aa

Green Compressive Sampling Reconstruction in IoT Networks

About this item

Full title

Green Compressive Sampling Reconstruction in IoT Networks

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2018-08, Vol.18 (8), p.2735

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

In this paper, we address the problem of green Compressed Sensing (CS) reconstruction within Internet of Things (IoT) networks, both in terms of computing architecture and reconstruction algorithms. The approach is novel since, unlike most of the literature dealing with energy efficient gathering of the CS measurements, we focus on the energy effic...

Alternative Titles

Full title

Green Compressive Sampling Reconstruction in IoT Networks

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_aba8bc959e72453f985301bb60aa35aa

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aba8bc959e72453f985301bb60aa35aa

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s18082735

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